{"library":"textdistance","type":"library","category":null,"description":"TextDistance is a Python library offering over 30 algorithms to compute the similarity or distance between two or more sequences. It provides a common interface for various string metrics, including edit-based, token-based, and phonetic algorithms. The library is actively maintained with frequent updates, with the current version being 4.6.3. [2, 5, 8]","language":"python","status":"active","version":"4.6.3","tags":["text analysis","string similarity","distance metrics","NLP","fuzzy matching"],"last_verified":"Thu May 21","install":[{"cmd":"pip install textdistance","imports":["import textdistance\ndistance = textdistance.levenshtein.distance('text', 'test')","from textdistance import JaroWinkler\njw = JaroWinkler()\ndistance = jw.distance('martha', 'marhta')"]},{"cmd":"pip install textdistance[extras]","imports":[]}],"homepage":null,"github":"https://github.com/orsinium/textdistance","docs":null,"changelog":null,"pypi":"https://pypi.org/project/textdistance/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":3.5,"avg_import_s":0.21,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/textdistance/compatibility"}}